Lead Data Engineer

Lead Data Engineer to drive technical direction of data pipeline and data warehouse layers bringing product robustness and maturity. Responsible for leading end-to-end design and delivery of the data platform, collaborating with Product and Engineering, and mentoring data engineering colleagues.

Requirements

• Extensive experience with Python in a testable and scalable fashion
• History of successfully developing data pipelines (e.g. Prefect, Airflow, Luigi, Dagster)
• Hands on experience with RDBMS (Microsoft SQL or PostgreSQL preferred) and comfortable writing SQL, both DDL and DML
• Experience as lead or managing developer, or substantial experience at senior level
• Ability to autonomously make architecture and design decisions as lead
• Demonstrated use of automation and AI-assisted development tools to improve engineering outcomes (quality, speed, test coverage, maintainability) in a controlled and secure way.

Benefits

• Opportunity to be responsible for technical communication and preparation in cross-team projects
• Collaboration with Machine Learning specialists gaining exposure to ML and Natural Language Processing (NLP)
• Part of a larger, cross-functional and dynamic team consisting of developers, designers, medical consultants and ML engineers
• Opportunity to work on innovative medical field contributing to improved outcomes for healthcare patients and providers